code: def setUp(self):
      audio_csv = (
          os.getcwd()
          + "/../src/test/resources/audio/csv/audio_floats.csv"
      )
      self.audio_data = list()
      audio_file = open(audio_csv, "r")
      csv_lines = audio_file.readlines()
      for csv_line in csv_lines:
          clean_line = float(csv_line.split(",")[0])
          self.audio_data.append(clean_line)
  
      self.pipeline = PretrainedPipeline(
          "pipeline_asr_wav2vec2_bilal_2022", lang="en"
      )
  
imports: import os
  import unittest
  import pytest
  from sparknlp.pretrained import PretrainedPipeline
label_desc: Use image node_id 1 for calling the PretrainedPipelineAudioInputTest obj's underlying member method code with example usage: obj.setUp() without return types